300 kA预焙铝电解槽温度和初晶温度的自适应模糊控制

采用自适应模糊技术,设计了300kA预焙槽电解质温度和初晶温度的控制系统.该系统包括参数采集,参数网络传输和参数预处理,专家知识规则库、模糊逻辑决策,参数辨识、模糊规则自适应,人机界面和执行机构等模块.通过调整氟化铝添加量、出铝量和设定电压,以及氧化铝下料间隔的自修正,实现对电解槽温度、初晶温度、效应系数的控制.该系统在常规模糊控制基础上,通过变化在线辨识参数,得到系统自适应不同的电解槽.系统的输入参数除传统的电压、温度和分子比外,还采用初晶温度、过热度和阴极压降等作为系统的输入参数.控制系统在我国某厂300 kA铝电解槽上运行9个月,电流效率达94.3%,效应系数为0.08,每吨铝的直流电耗13 000kW·h.

Adaptive fuzzy control system of temperature and liquidus of 300 kA aluminum production cells

An adaptive fuzzy control system for 300kA prebake aluminum production cells was designed,which includes the sampling,transmission and pretreatment of the parameters,the database and fuzzy logical determination,the parameter recognition and adaptivity of the fuzzy rule and actor.The bath temperature,liquidus and anode effect were controlled by adjusting the AlF3 additions,aluminum tapping magnitude,cell voltage set-point and the alumina feeding interval.Based on the tradition fuzzy control,the system can automatically adapt different cells in different periods by online recognition.Besides the cell voltage,bath temperature and bath ratio,the inputs of the system also include the liquidus temperature,superheat extent and cathode voltage.The control system has been running nine months in some Aluminum Plant in Hennan Province of China,with current efficiency up to 94.3%,anode effect coefficient down to 0.08 and DC energy consumption to 13 000 kW.h per ton aluminum.